Senior Data

About The Role
The Department of Behavioral Health and Developmental Services (DBHDS) is seeking a highly skilled

Senior Full stack developer with advanced expertise in building AWS/React/NodeJS micro frontend

applications and APIs. This role involves implementing technology solutions that enhance business

decision-making and processes across all business units, in alignment with the agency's architectural

roadmap and enterprise goals.

The Full Stack Developer will engage in a broad range of tasks related to the development, deployment,

and maintenance of cloud-based infrastructure and applications. Responsibilities include enabling

collaboration, automation, and efficiency in the development of cloud-based micro frontend applications,

thereby facilitating the rapid delivery of high-quality software and services to customers.

This role is critical to implementing technology solutions that enhance business decision-making, data

governance, and operational efficiency across all business units, in alignment with the

agency's architectural roadmap, enterprise goals, and data policy framework. This position will support

the technology build-out of data capabilities aligned with DBHDS's Data Policy, including but not limited

To

• Data Quality Dashboards for monitoring and remediation
• Data Classification and Retention mechanisms
• User-facing portals for secure login and interaction
• Workflow-enabled processes for data lifecycle management
• Integration with AWS-native services such as SageMaker Studio, Glue, Athena.

This position requires technical proficiency in AWS cloud development with Data engineering & full stack

skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs, lambda, API Gateway, node js, react

js , python etc., , adherence to software engineering best practices, appreciation to data management

principle and alignment with the agency's technical direction & data policies. Additionally, the role

involves collaboration with teams on leveraging the possibilities of common components and technology

solutions to ensure successful adoption and implementation.

Additional Responsibilities Include

• Collaborate with stakeholders to understand business requirements and convert them into

actionable solution components aligned with DBHDS's Enterprise Solution architecture patterns,

procedures, and policies.

• Design and develop scalable, resilient data service components and engineering solutions using

cloud-native services and technologies.

• Develop data lakes and CDC services to create cohesive applications within cloud and hybrid

infrastructures.

• Create comprehensive solution documentation detailing the design, testing, and production

support processes and procedures.

• Set up and maintain continuous integration and continuous deployment (CI/CD) pipelines to

automate updates and feature deployments.

• Design and develop cloud-native micro frontend applications and data service APIs using AWS,

React, and NodeJS.

• Build data quality monitoring dashboards and tools to support data stewardship and policy

compliance.

• Implement data classification and retention logic using metadata tagging, lifecycle policies, and

automation.

• Develop secure user portals with role-based access control (RBAC), Single Sign-On (SSO), and

integration with AWS Cognito.

• Enable workflow automation for data intake, validation, approval, and archival processes.
• Create and maintain solution documentation, including architecture diagrams, data flow,

testing, and support procedures.

• Ensure solution completeness through thorough testing and quality assurance processes,

ensuring compliance with security policies and best practices.

• Manage configuration drift and ensure consistency across different environments, using tools

like AWS Code Build/Deploy and AWS CloudFormation.

• Apply DevOps principles to streamline the software development lifecycle (SDLC) and enhance

automation.

• Deploy solutions to various environments, establish monitoring processes, and ensure ongoing

operational stability and application resiliency through system stress testing and feature

enhancements.

• Collaborate with cross-functional teams to understand change requirements, provide technical

expertise, and ensure solutions align with business needs.

Qualifications Include

• Expertise in developing AWS full stack applications: Translate business requirements into fully

tested applications workflows by designing, implementing, and maintaining technology assets

using approved tools and plugins for AWS for python.

• Proficiency in data services orchestrion: Strong proficiency in cloud platforms, leveraging native

cloud services data orchestration solution.

• API Development: Expertise in designing, developing, and maintaining APIs specifically tailored

for cloud environments including AWS API Gateway.

• Cloud Networking and Security: Understanding of cloud networking concepts including VPCs,

subnets, security groups and cloud security best practices, including identity and access

management (IAM). Securing application through role-based authorization, single sign on, and

• Coginto. for user and access management from Data services API and products
• Serverless Computing: Experience with serverless computing concepts, event-driven

architecture, and serverless platforms.

• Infrastructure as Code (IaC): Automate the provisioning and management of cloud infrastructure

using tools like AWS CloudFormation and Terraform.

• Scripting and Automation: Ability to write scripts and automate tasks using scripting languages

including NodeJS and Python.

• Experience with data quality frameworks, data validation, and anomaly detection.
• Familiarity with data classification models, metadata management, and retention policies.
• Ability to write scripts and automation using Python and NodeJS.
• Monitoring and Logging: Experience in setting up alerts, dashboards, and logs for cloud

infrastructure and applications.

• DevOps Practices: Strong understanding of DevOps practices, including developing and

optimizing CI/CD pipelines, version control, and collaboration tools including AWS CodePipeline

and Github.

• End-User Training and Support: Provide support and training to end-users for improved solution

literacy and tool usage in a cloud ecosystem.

• Business Process Automation: Analyze business process life cycles to identify opportunities for

automation and simplification, implementing appropriate solutions.

• Collaboration and Communication: Collaborate with product and business owners to deliver

robust cloud-based solutions, demonstrating excellent communication skills (both written and

verbal).

• Compliance: Adhere to all policies and procedures of the Agency.

Additional Considerations
AWS Data Engineer Associate and Solution architect Professional Certification is desired.

Familiarity with data governance frameworks such as DAMA-DMBOK or NIST Data Management